Signals are behavioral and intent patterns that Chordia's Compass engine identifies across customer conversations. Each signal represents something specific that happened — or didn't happen — during an interaction. Unlike keyword matching or sentiment scores, signals are grounded in the structure of the conversation: what was said, in what context, and what it means for your operation.
sig.loan_terms_discussed

Loan Terms Discussed

Process Adherence
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Financial Services

What This Signal Detects

Financial services conversations that involve loan terms are subject to specific disclosure requirements under regulations like the Truth in Lending Act. When agents discuss interest rates, APR, payment amounts, loan duration, or other material terms, they must ensure customers understand the financial commitment they’re making.

This signal identifies interactions where loan terms were discussed — whether in the context of a new application, loan modification, payment restructuring, or customer inquiry about existing terms. It captures any conversation where material loan conditions were communicated to the customer.

Why It Matters

Loan terms discussions trigger specific regulatory obligations. Customers have the right to understand their financial commitments clearly, and institutions have the duty to provide that clarity. When agents discuss rates or payments without proper context or required disclosures, it creates compliance risk.

The complexity lies in distinguishing between general information and specific loan terms that require disclosure. An agent can explain what types of loans are available, but once they discuss specific rates, payment amounts, or terms for a particular customer’s situation, compliance requirements activate.

Audit teams need visibility into these conversations because loan terms discussions are high-value compliance touchpoints. Unlike routine service calls, these interactions directly impact customer financial decisions and carry regulatory scrutiny.

How It Works

Compass identifies when agents communicated specific loan terms including interest rates, annual percentage rates, monthly payment amounts, loan duration, or other material conditions. The evaluation distinguishes between general information sharing and specific terms discussion that requires compliance attention.

What Teams Do With This

Compliance officers monitor loan terms discussions to ensure proper disclosures accompany rate quotes and payment information. Each conversation represents a potential regulatory touchpoint that requires documentation.

Sales supervisors use this signal to identify interactions where agents discussed terms but may have missed required disclosure elements. Often agents are comfortable with the numbers but less confident about the compliance language.

Audit teams track loan terms discussion frequency and context as part of regulatory examination preparation. Being able to demonstrate consistent monitoring and appropriate disclosure practices is essential for regulatory relationships.

This signal is part of Chordia’s Compliance Monitoring capabilities.